
This review describes methods for preclinical evaluation of candidate medications to treat opioid use disorder (OUD). The review is founded on the propositions that (1) drug self-administration procedures provide the most direct method for assessment of medication effectiveness, (2) procedures that assess choice between opioid and nondrug reinforcers are especially useful, and (3) states of opioid dependence and withdrawal profoundly influence both opioid reinforcement and effects of candidate medications. Effects of opioid medications and vaccines on opioid choice in nondependent and opioid-dependent subjects are reviewed. Various nonopioid medications have also been examined, but none yet have been identified that safely and reliably reduce opioid choice. Future research will focus on (1) strategies for increasing safety and/or effectiveness of opioid medications (e.g., G-protein-biased μ-opioid agonists), and (2) continued development of nonopioid medications (e.g., clonidine) that might serve as adjunctive agents to current opioid medications.
Narcotics, Evidence-Based Medicine, Narcotic Antagonists, Receptors, Opioid, mu, Self Administration, Opioid-Related Disorders, Choice Behavior, Naltrexone, Buprenorphine, Substance Withdrawal Syndrome, Analgesics, Opioid, Treatment Outcome, Drug Development, Humans, Methadone
Narcotics, Evidence-Based Medicine, Narcotic Antagonists, Receptors, Opioid, mu, Self Administration, Opioid-Related Disorders, Choice Behavior, Naltrexone, Buprenorphine, Substance Withdrawal Syndrome, Analgesics, Opioid, Treatment Outcome, Drug Development, Humans, Methadone
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
